Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
MIT License
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2...
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (Neur...
An implementation of the paper: "Gated Slot Attention for Efficient Linear-Time Sequence Modeling...
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models ...
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computat...
A PyTorch implementation of the Transformer model in "Attention is All You Need".
The author's officially unofficial PyTorch BigGAN implementation.
Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, Gr...
My implementation of the original GAT paper (Veličković et al.). I've additionally included the p...